STELLERSIGHT Labs
Research credibility for technical and procurement diligence
Labs publishes engineering-grade artefacts—notes, experiments, and architecture critiques—that demonstrate sustained R&D and disciplined innovation: reproducibility, clear assumptions, and traceable paths into product releases.
Infrastructure overlays · pre-engagement artefacts
Threat correlation
signal fusion · analyst queue
Secure enclave slice
segmentation · policy boundary
Sensor → edge → core
telemetry chain · integrity
Orchestration mesh
automation · human gates
Detailed architecture, deployment artefacts, and capability briefs are shared under NDA for qualified enterprise and government procurement paths—evaluation access follows diligence review.
Research domains
Structured domains anchor diligence questions about depth—not one-off consulting.
Cybersecurity research
- AI-assisted detection
- Threat modelling
- Security automation
AI systems research
- Autonomous reasoning
- Intelligent workflows
- AI safety systems
Autonomous systems research
- UAV autonomy
- Robotics orchestration
- Edge intelligence
Infrastructure research
- Observability systems
- Distributed infrastructure
- Scalable intelligence platforms
Active initiative themes
- Detector evaluation harnesses with reproducible benchmarks
- Threat scenario modelling for critical infrastructure
- Embedded attestation and secure update prototypes
- AI safety hooks for operator-in-the-loop workflows
Selected publications
AI-Augmented Cyberattacks: Practical Implications for Defenders
Surveys offensive ML techniques impacting malware diversity and spear-phishing scale—with defensive detection implications.
Graph-Based Alert Fusion Under Incomplete Asset Registries
Defines fusion strategies when CMDB fidelity is imperfect—common in large estates.
Zero-Trust Segmentation for Hybrid Kubernetes Estates
Identity-bound segmentation patterns that tolerate legacy east-west traffic during migration.
Telemetry Budgeting for Edge Robotics Deployments
Bandwidth-aware telemetry schemas for robotics stacks operating over contested links.
Full PDFs and supplementary materials are shared under engagement or academic collaboration agreements.
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